Sexually Transmitted Infections in Youth With Controlled and Uncontrolled Human Immunodeficiency Virus Infection
Bibliographic record
Abstract
BACKGROUND: Sexually transmitted infections (STIs), including human immunodeficiency virus (HIV), disproportionately affect adolescents and young adults (AYAs) ages 13-24 years. Sexually transmitted infections likewise are a risk factor for HIV acquisition and transmission; however, there is a lack of data on STI acquisition in HIV-infected AYAs. METHODS: We determined the incidence of STIs in HIV-infected AYAs 12.5 <25 years of age in the International Maternal Pediatric Adolescent AIDS Clinical Trials (IMPAACT) P1074 observational cohort study. Univariate and multivariable logistic regression models were used to evaluate the association of HIV control (mean viral load <500 copies/mL and CD4+ T cells >500 cells/mm3 in the year preceding STI diagnosis) and other risk factors with STI occurrence. RESULTS: Of 1201 enrolled subjects, 1042 participants met age criteria and were included (49% male, 61% black, 88% perinatally infected; mean age 18.3 years). One hundred twenty participants had at least 1 STI on study, of whom 93 had their first lifetime STI (incidence rate = 2.8/100 person-years). For individual STI categories, 155 incident category-specific events were reported; human papillomavirus (HPV) and chlamydial infections were the most common. In the multivariable model, having an STI was associated with older age (adjusted odds ratio [aOR] = 1.13; 95% confidence interval [CI], 1.05-1.22), female sex (aOR = 2.65; 95% CI, 1.67-4.21), nonperinatal HIV acquisition (aOR = 2.33; 95% CI, 1.29-4.22), and uncontrolled HIV infection (aOR = 2.05; 95% CI, 1.29-3.25). CONCLUSIONS: Sexually transmitted infection acquisition in HIV-infected AYAs is associated with older age, female sex, nonperinatal HIV acquisition, and poorly controlled HIV infection. Substantial rates of STIs among HIV-infected AYAs support enhanced preventive interventions, including safe-sex practices and HPV vaccination, and antiretroviral adherence strategies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".